The IOMETE blog
Welcome to our blog. Here's where we share company news, engineering updates and educational content. Don't hesitate to reach out to us by email hello@iomete.com.
We'd love to hear from you!
Apache Iceberg vs Delta Lake case studyWhy IOMETE chooses Apache Iceberg over Delta Lake?
Vusal Dadalov· April 4, 2023
EngineeringHow to build secure data processing architecture?First hand experience on how to securely process and analyse data in cost-friendly way
EngineeringOn-premise Analytics Platform case studyStep-by-step on-premise use case
EngineeringSnowflake cost cuttingHow to cut your Snowflake bills
CompanyWhy we choose to be the on premise data lakehousewhy we position ourselves as the on premise data lakehouse
EngineeringCommon Table Expressions (CTEs) in SQLpowerful feature in IOMETE SQL editor that allows you to define temporary result sets
Company10 Reasons Why Apache Iceberg is the Winning Table FormatApache Iceberg is a table format that is quickly becoming the standard for storing and managing data lake
CompanyThe Benefits of On-Premise and Hybrid Data WarehousesThere can be good reasons to opt for an on-premise data warehouse or lakehouse
EngineeringSpark and HDFS Integration for data lakehouse Architecturerelationship between Spark and HDFS and discuss setting up your architecture
EngineeringFree-forever data lakehouse platformOur Free Plan offers all you need for your organization to become data-driven
EngineeringIOMETE changelog 2023 Q2What is new in IOMETE platform
EngineeringWhat is a Snowflake Compute Credit?Understanding your consumption of Snowflake credits
EngineeringUsing ChatGPT for data engineeringUsing ChatGPT saves data engineers hours of time and frustration
EngineeringCloud-prem data lakehouse platformWhat is the cloud-prem data analytics platform? How to choose the right platform?
EngineeringFinancial Services Alternative DataHow to get benefit from Alternative Data in Financial industry
CompanyDATA MESH with IOMETELearn how to implement data mesh to your organization with IOMETE
EngineeringWhat is Data Mesh?Learn what is data mesh and how to implement it to your organization step-by-step
CompanyData lake benefits 2023Learn the benefits of data lakes and how to implement them in your organization [2023]
CompanyApache Iceberg vendor IOMETEWe’re pleased to announce that IOMETE is now featured as one of the few vendors that supports the Apache Iceberg table format
CompanyIOMETE achieved SOC-2 compliancewe have achieved SOC 2 Type I compliance in accordance with American Institute of Certified Public Accountants (AICPA) standards for SOC for Service Organizations
EngineeringData Warehouses vs Data Lakehouseslet’s explore the journey from warehouse to lakehouses and what are the main differences
EngineeringIOMETE Airbyte ConnectorEasily integrate data from popular third-party applications like Hubspot, Mixpanel, Salesforce, and other sources into the IOMETE platform.
Educational, CompanyBuilding data stack for governed dataData Governance is a concept that entered our lives with Big Data and has been implemented in many institutions and organizations.
ReleaseNew IOMETE features | September 2022In September 2022, we released a number of new and improved platform features. Check full description in this blog post.
EngineeringSpark SQL Cheat Sheet for Apache IcebergApache Iceberg is a high-performance format for huge analytic tables. It has built-in metadata tables for inspection and procedures for data compaction and table maintenance.
EducationalThe Rise of the Serverless Lakehouse PlatformA data lake is a flexible architecture and allows organizations to keep all data in one repository. It does, however, have some shortcomings.
CompanyThe Data Cloud is GreedyIn this post we explained why we believe "The Data Cloud" - a reference to the establishment in our industry - is greedy by sharing our hate list.
EngineeringAngular E2E tests with CypressNowadays, it is an industry standard to write tests for your code. Such popularity is not just a trend, it is backed by the observation that tests bring stability and scalability to code.
